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28
datasets available to search
ShareScore release 0.9.0
Dataset results
28 results for “Genome Phenotypic variations”
Plasmodium falciparum Heterochromatin Protein 1 Marks Genomic Loci Linked to Phenotypic Variation of Exported Virulence Factors
GEO Series GSE17029. Plasmodium falciparum. 1 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Single cell functional genomics reveals the importance of mitochondria in cell-to-cell phenotypic variation
GEO Series GSE104343. Saccharomyces cerevisiae. 4 samples. Type: Expression profiling by high throughput sequencing.
High copy number variation burdens in cranial meningiomas from patients with diverse clinical phenotypes characterized by hot genomic structure changes
GEO Series GSE147673. Homo sapiens. 383 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Heat shock stimulates genomic instability and phenotypic variations in yeast
GEO Series GSE150711. Saccharomyces cerevisiae. 21 samples. Type: Genome variation profiling by SNP array.
Figure 3 in Subspecies at crossroads: the evolutionary significance of genomic and phenotypic variation in a wide-ranging Australian lizard (Ctenotus pantherinus)
Figure 3. Geographical distribution of the characters proposed to diagnose subspecies in Ctenotus pantherinus. The top left panel indicates the presumed ranges of the four subspecies as in Figure 1B: C. p. acripes (a), C. p. calx (c), C. p. ocellifer (o) and C. p. pantherinus (p). For the quantitative characters (remaining left panels), colours of circles indicate average trait values in a locality. Juveniles (<75 mm) were not included in the snout–vent length map. For the qualitative characters (right panels), pie charts indicate the relative frequency of alternative character states in a locality. Some character states tended to be more frequent in certain regions, yet many specimens deviated from these regional trends.
Figure 5 in Subspecies at crossroads: the evolutionary significance of genomic and phenotypic variation in a wide-ranging Australian lizard (Ctenotus pantherinus)
Figure 5. Phylogenetic relationships in Ctenotus pantherinus and geographical distribution of inferred clades. A, phylogenetic tree based on a dataset including 85 743 nuclear single nucleotide polymorphisms from a double-digest restriction site-associated data (ddRAD) approach. B, tree based on the cytochrome b mitochondrial marker. Asterisks indicate samples from the type locality of C. p. acripes, a taxon that we deem invalid (see main text). C, geographical distributions of major nuclear clades. D, distributions of major mitochondrial clades. Nuclear and mitochondrial trees show multiple points of discordance and limited correspondence to putative population assignments to subspecies.
Figure 4 in Subspecies at crossroads: the evolutionary significance of genomic and phenotypic variation in a wide-ranging Australian lizard (Ctenotus pantherinus)
Figure 4. Evidence of weak and inconsistent phenotypic and phylogenetic coherence and distinctiveness of Ctenotus pantherinus subspecies. A, morphospace defined by two axes from non-parametric multidimensional scaling on seven characters scored from museum specimens (N = 145). Many specimens putatively corresponding to the same subspecies (based on geographical ranges) did not group in morphological space, whereas samples assignable to different subspecies often grouped together. B, C, both the nuclear (B) and mitochondrial (C) phylogenetic analyses suggest paraphyly of subspecies. For detailed phylogenetic trees and corresponding clade distributions, see Figure 5.
Data from: Environmental variation predicts patterns of phenotypic and genomic variation in an African tropical forest frog
<p>Central African rainforests are predicted to be disproportionately affected by future climate change. How species will cope with these changes is unclear, but rapid environmental changes will likely impose strong selection pressures. Here we examined environmental drivers of phenotypic and genomic variation in the central African puddle frog (<i>Phrynobatrachus auritus</i>) to identify areas of elevated environmentally-associated turnover where populations may have the greatest capacity to adapt. We also compared current and future climate models to pinpoint areas of high genomic vulnerability where allele frequencies will have to shift the most in order to keep pace with future climate change. Analyses of body size, relative leg length, and head shape suggest that seasonal aspects of temperature and precipitation significantly influence phenotypic variation, whereas geographic distance and precipitation seasonality are the most important drivers of SNP allele frequency variation. However, neither landscape barriers nor the effects of past Pleistocene refugia had any influence on genomic differentiation. Most phenotypic and genomic differentiation coincided with key ecological gradients across the forest-savanna ecotone, montane areas and a coastal to interior rainfall gradient. Areas of greatest vulnerability were found in the lower Sanaga basin and southeastern region of Cameroon. In contrast with past conservation efforts that have focused on hotspots of species richness or endemism, our findings highlight the importance of preserving environmentally heterogeneous landscapes to preserve putatively adaptive variation and ongoing evolutionary processes in the face of climate change.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.